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Back to the Future: What Predictive Decision Support Can...

13 December 2022

In the third blog in our series on artificial intelligence (AI) and machine learning (ML)-driven predictive models (data analytics tool or software) in health care, we discussed some potential risks (sometimes referred to as model harms) related to these emerging technologies and how these risks could lead to adverse impacts or negative outcomes. Given these potential risks, some have questioned whether they can trust the use of these technologies in health care.

We are encouraged to see that some stakeholders are demonstrating that a predictive model is fair,

The post Back to the Future: What Predictive Decision Support Can Learn from DeLoreans and The Big Short appeared first on Health IT Buzz.

Guiding Developers through Foundational Federal Laws...

12 December 2022

As you design, market, and distribute a mobile health (mHealth) app that your customers will use to collect, share, use, or maintain individuals’ health information, it is likely you have questions about what U.S. federal laws apply. You may also wonder which federal agencies oversee various aspects of mHealth — including how this varies by how individuals, their health plan, or health care providers will use the app.  Depending on who is expected to use an app and how they will get and use the app (e.g.,

The post Guiding Developers through Foundational Federal Laws Applicable to Mobile Health Technology appeared first on Health IT Buzz.

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